Regression Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1.9 by Oldemar Rodriguez R., 8 months ago

Browse source code at

Authors: Oldemar Rodriguez R. [aut, cre] , Andres Navarro D. [ctb, prg] , Diego Jimenez A. [ctb, prg]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports shiny, shinyAce, shinydashboardPlus, shinyWidgets, shinyjs, flexdashboard, neuralnet, rpart, rattle, xgboost, colourpicker, DT, randomForest, e1071, kknn, corrplot, ROCR, glmnet, gbm, pls, zip, ggplot2, dplyr, htmltools

Suggests forcats, gridExtra, tibble, scales, scatterplot3d, psych, dummies, testthat

See at CRAN